Understanding emergent web regularities with information foraging agents

Jiming LIU*, Shiwu Zhang, Yiming Ye

*Corresponding author for this work

Research output: Contribution to conferenceConference paperpeer-review

4 Citations (Scopus)

Abstract

In Web Intelligence (WI) applications, it is a common practice to record Web log data. What remains a big obstacle as well as a great challenge in log analysis today is how to characterize the underlying user behavior from the obtained data. In this paper, we will focus on how to interpret strong regularities in Web surfing in terms of user decision-making patterns, and present an information foraging agent-based approach to characterizing user behavior.

Original languageEnglish
Pages457-458
Number of pages2
DOIs
Publication statusPublished - 2002
EventProceedings of the 1st International Joint Conference on: Autonomous Agents adn Multiagent Systems - Bologna, Italy
Duration: 15 Jul 200219 Jul 2002

Conference

ConferenceProceedings of the 1st International Joint Conference on: Autonomous Agents adn Multiagent Systems
Country/TerritoryItaly
CityBologna
Period15/07/0219/07/02

Scopus Subject Areas

  • Engineering(all)

User-Defined Keywords

  • Agent-Based Simulation
  • Information Foraging Agents
  • Self-Organized Criticality
  • Web Regularity Characterization

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